Haixia Su

4.8k total citations
58 papers, 928 citations indexed

About

Haixia Su is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Haixia Su has authored 58 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 15 papers in Infectious Diseases. Recurrent topics in Haixia Su's work include Computational Drug Discovery Methods (17 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Fault Detection and Control Systems (6 papers). Haixia Su is often cited by papers focused on Computational Drug Discovery Methods (17 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Fault Detection and Control Systems (6 papers). Haixia Su collaborates with scholars based in China, Germany and Australia. Haixia Su's co-authors include Yechun Xu, Hang Xie, Qiang Shao, Muya Xiong, Wenfeng Zhao, Minjun Li, Hualiang Jiang, Leike Zhang, Guigang Zhang and Chang‐Qiang Ke and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.

In The Last Decade

Haixia Su

56 papers receiving 922 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haixia Su China 18 421 319 243 172 90 58 928
Foysal Ahammad Saudi Arabia 19 589 1.4× 370 1.2× 166 0.7× 136 0.8× 99 1.1× 40 1.1k
Salma Jamal India 20 663 1.6× 307 1.0× 243 1.0× 60 0.3× 62 0.7× 64 1.1k
Thomas R. Lane United States 22 549 1.3× 572 1.8× 285 1.2× 91 0.5× 76 0.8× 68 1.5k
Utkarsh Raj India 15 413 1.0× 201 0.6× 96 0.4× 105 0.6× 57 0.6× 51 867
Philip Prathipati India 19 538 1.3× 304 1.0× 94 0.4× 166 1.0× 78 0.9× 34 998
Aman Chandra Kaushik China 25 923 2.2× 411 1.3× 241 1.0× 81 0.5× 133 1.5× 94 1.7k
Kimberley M. Zorn United States 22 516 1.2× 672 2.1× 247 1.0× 77 0.4× 63 0.7× 36 1.5k
Narender Singh India 21 536 1.3× 270 0.8× 97 0.4× 137 0.8× 58 0.6× 82 1.3k
Woong‐Hee Shin South Korea 18 756 1.8× 455 1.4× 108 0.4× 89 0.5× 49 0.5× 43 1.1k
Zhihua Li China 10 520 1.2× 277 0.9× 88 0.4× 126 0.7× 55 0.6× 47 1.2k

Countries citing papers authored by Haixia Su

Since Specialization
Citations

This map shows the geographic impact of Haixia Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haixia Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixia Su more than expected).

Fields of papers citing papers by Haixia Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haixia Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haixia Su. The network helps show where Haixia Su may publish in the future.

Co-authorship network of co-authors of Haixia Su

This figure shows the co-authorship network connecting the top 25 collaborators of Haixia Su. A scholar is included among the top collaborators of Haixia Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haixia Su. Haixia Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Su, Haixia, et al.. (2025). Silibinin accelerates diabetic wound healing through PI3K/Akt-mediated immunomodulation-angiogenesis crosstalk. Biochemical and Biophysical Research Communications. 784. 152649–152649.
2.
Xie, Hang, Wanchen Li, Minjun Li, et al.. (2025). Identification of RIPK3 as a target of flavonoids for anti-necroptosis in vitro. Bioorganic Chemistry. 161. 108503–108503.
3.
Su, Haixia, Guofeng Chen, Hang Xie, et al.. (2025). Structure-based design of potent and selective inhibitors targeting RIPK3 for eliminating on-target toxicity in vitro. Nature Communications. 16(1). 4288–4288. 4 indexed citations
4.
Zhang, Ruxue, Qiaoyu Hu, Hui Li, et al.. (2023). Discovery, synthesis and mechanism study of 2,3,5-substituted [1,2,4]-thiadiazoles as covalent inhibitors targeting 3C-Like protease of SARS-CoV-2. European Journal of Medicinal Chemistry. 249. 115129–115129. 11 indexed citations
5.
Yang, Hanxi, Xinyao Chen, Qiumeng Zhang, et al.. (2023). Design, synthesis and biological evaluation of covalent peptidomimetic 3CL protease inhibitors containing nitrile moiety. Bioorganic & Medicinal Chemistry. 87. 117316–117316. 5 indexed citations
6.
Hu, Hao, Haixia Su, Yechun Xu, et al.. (2023). Spatiotemporal and global profiling of DNA–protein interactions enables discovery of low-affinity transcription factors. Nature Chemistry. 15(6). 803–814. 22 indexed citations
7.
Yang, Hanxi, Yan Zhang, Xiangrui Jiang, et al.. (2023). Design, synthesis and biological evaluation of peptidomimetic benzothiazolyl ketones as 3CLpro inhibitors against SARS-CoV-2. European Journal of Medicinal Chemistry. 257. 115512–115512. 7 indexed citations
8.
Zhang, Xianglei, Guofeng Chen, Qiang Shao, et al.. (2023). Drug repurposing and structure-based discovery of new PDE4 and PDE5 inhibitors. European Journal of Medicinal Chemistry. 262. 115893–115893. 6 indexed citations
9.
Chen, Guofeng, Hang Xie, Qiang Shao, et al.. (2023). Structure-based design of potent FABP4 inhibitors with high selectivity against FABP3. European Journal of Medicinal Chemistry. 264. 115984–115984. 3 indexed citations
10.
Guo, Mengyu, Muya Xiong, Jinying Peng, et al.. (2023). Multi-omics for COVID-19: driving development of therapeutics and vaccines. National Science Review. 10(9). nwad161–nwad161. 11 indexed citations
11.
Xiong, Muya, et al.. (2022). In silico screening-based discovery of novel covalent inhibitors of the SARS-CoV-2 3CL protease. European Journal of Medicinal Chemistry. 231. 114130–114130. 20 indexed citations
12.
Gao, Jing, Chen Zhou, Li Shi, et al.. (2022). Dipyridamole interacts with the N-terminal domain of HSP90 and antagonizes the function of the chaperone in multiple cancer cell lines. Biochemical Pharmacology. 207. 115376–115376. 3 indexed citations
13.
Su, Haixia, Sheng Yao, Wenfeng Zhao, et al.. (2021). Identification of pyrogallol as a warhead in design of covalent inhibitors for the SARS-CoV-2 3CL protease. Nature Communications. 12(1). 3623–3623. 142 indexed citations
14.
Su, Haixia, Chang‐Qiang Ke, Chunping Tang, et al.. (2021). Efficient discovery of potential inhibitors for SARS-CoV-2 3C-like protease from herbal extracts using a native MS-based affinity-selection method. Journal of Pharmaceutical and Biomedical Analysis. 209. 114538–114538. 25 indexed citations
15.
Su, Haixia, Yechun Xu, & Hualiang Jiang. (2021). Drug discovery and development targeting the life cycle of SARS-CoV-2. Fundamental Research. 1(2). 151–165. 13 indexed citations
16.
Zeng, Hao, et al.. (2021). Analysis of Clinical Characteristics of 556 Spinal Tuberculosis Patients in Two Tertiary Teaching Hospitals in Guangxi Province. BioMed Research International. 2021(1). 1344496–1344496. 5 indexed citations
17.
Wang, Hui, Qian Meng, Muya Xiong, et al.. (2020). USP28 and USP25 are downregulated by Vismodegib in vitro and in colorectal cancer cell lines. FEBS Journal. 288(4). 1325–1342. 30 indexed citations
18.
Zhang, Chi, Hongwen Zhu, Zhijun Liu, et al.. (2020). Allosteric Regulation of Hsp90α’s Activity by Small Molecules Targeting the Middle Domain of the Chaperone. iScience. 23(2). 100857–100857. 19 indexed citations
19.
Li, Junhao, Zengrui Wu, Haixia Su, et al.. (2016). Interactions of omeprazole-based analogues with cytochrome P450 2C19: a computational study. Molecular BioSystems. 12(6). 1913–1921. 9 indexed citations
20.
Li, Junhao, Haixia Su, Juan Zhang, et al.. (2016). Effects of protein flexibility and active site water molecules on the prediction of sites of metabolism for cytochrome P450 2C19 substrates. Molecular BioSystems. 12(3). 868–878. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Foysal Ahammad Breakdown of academic impact, for papers by Salma Jamal Breakdown of academic impact, for papers by Thomas R. Lane Breakdown of academic impact, for papers by Utkarsh Raj Breakdown of academic impact, for papers by Philip Prathipati Breakdown of academic impact, for papers by Aman Chandra Kaushik Breakdown of academic impact, for papers by Kimberley M. Zorn Breakdown of academic impact, for papers by Narender Singh Breakdown of academic impact, for papers by Woong‐Hee Shin Breakdown of academic impact, for papers by Zhihua Li
Rankless by CCL
2026